So, I recently shared a post detailing how to use the Cha-Cha Slide in your Intro Stats class. Today? Today, I will provide you with an example of how to use Kim Kardashian to explain test validity. So. Kim Kardashian-West stumbled upon a Buzzfeed quiz that will determine if you are more of a Kim Kardashian-West or more of a Chrissy Teigen . She Tweeted about it, see below. https://twitter.com/KimKardashian/status/887881898805952514 And she went and took the test, BUT SHE DIDN'T SCORE AS A KIM!! SHE SCORED AS A CHRISSY! See below. https://twitter.com/KimKardashian/status/887882791488061441 So, this test purports to assess one's Kim Kardashian-West-ness or one's Chrissy Teigan-ness. And it failed to measure what it claimed to measure as Kim didn't score as a Kim. So, not a valid measure. No word on how Chrissy scored. And if you are in you teach people in their 30s, you could always use this example of the time Garbage's Shirley Manson...

http://gazomg.deviantart.com/art/Star-Trek-Redshirt-6-The-Walking-Dead-483111105 io9 recaps a talk given by mathematician  James Grime . He addressed the long running Star Trek joke that the first people to die are the Red Shirts. Using resources that detail the ins and outs of Star Trek, he determined that: This makes for a good example of absolute vs. relative risk. Sure, more red shirts may die, absolutely, but proportionally? They only make up 10% of the deaths. Also, I think this is a funny example of using archival data in order to understand an actual on-going Star Trek joke. For more math/Star Trek links, go to space.com's treatment of the speech.

Data has been used to learn a bit more about the age old observation that books are always better than the movies they inspire. Fivethirtyeight writer Walk Hickey gets down to the brass tacks of this relationship by exploring linear relationships between book ratings and movie ratings.  The biggest discrepancies between movie and book ratings were for "meh" books made into beloved movies (see "Apocalypse Now"). How to use in class: -Hickey goes into detail about his methodology and use of archival data. The movie ratings came from Metacritic, the book ratings came for Goodreads. -He cites previous research that cautions against putting too much weight into Metacritic and Good reads. Have your students discuss the fact that Metacritic data is coming from professional movie reviewers and Goodreads ratings can be created by anyone. How might this effect ratings? -He transforms his data into z-scores. -The films that have the biggest movie:book rati...

" Mark Wahlberg as Research Scholar. Boom." Follow on Facebook or at twitter via  @ ResearchMark  

John Oliver demonstrates representative sampling by inviting three climate change deniers to debate 97 scientists who believe that global climate change is happening . Also, Bill Nye.

This tongue-in-cheek  regression analysis found a way to predict the "Hipster Music Index" of a given artist by plotting # of Facebook shares of said artist's Pitchfork magazine review on they y-axis and Pitchfork magazine review score on the x-axis. If an artist falls above the linear regression line, they aren't "hipster". If they fall below the line, they are. For example, Kanye West is a Pitchfork darling but also widely shared on FB, and, thus demonstrating too much popular appeal to be a hipster darling (as opposed to Sun Kill Moon (?), who is beloved by both Pitchfork but not overly shared on FB). As instructors, we typically talk about the regression line as an equation for prediction, but Priconomics uses the line in a slightly different way in order to make predictions. Also, if you go to the source article, there are tables displaying the difference between the predicted Y-value (FB Likes) for a given artist versus the actual Y-value, which coul...

a) The addition of this post means that I now have TWO Snoop Dogg blogg labels  for this blog. b) Daniels' graph allows students to see archival data (and research decisions used when deciding how to analyze the archival data as well as content analysis) in order to determine which rapper has the largest vocabulary. Here is Matthew Daniels interactive chart detailing the vocabularies of numerous, prominent rappers. Daniels sampled each musician's first 35,000 lyrics for the number of unique words present. He went with 35,000 in order to compare more established artists to more recent artists who have published fewer songs. (The appropriateness of this decision could be a source of debate in a research methods class.) Additionally, derivatives of the same word are counted uniquely (pimps, pimp, pimping, and pimpin count as four words). This decision was guided, from what I can gather, by the time of content analysis performed. Property of Matthew Daniels...note: The ori...

UPDATE! This website is not currently available.  Kevin Wu's Graph TV  uses individual episode ratings (archival data via IMDB ) of TV shows, graphs each episode over the course of a series via scatter plot, and generates a regression line. This demonstrates fun with archival data as well as regression lines and scatter plots. You could also discuss sampling, in that these ratings were provided by IMDB users and, presumably, big fans of the shows (and whether or not this constitutes representative sampling). The saddest little purple dot is the episode Black Market. Truth!

Lately, there have been a lot of quizzes popping up on my Facebook feed ("What breed of dog are you?", "What character from Harry Potter are you?"). As a psychologist who tinkers in statistics, I have pondered the psychometric properties of such quizzes and concluded that these quizzes where probably not properly vetted in peer-reviewed journals. Now I have a tiny bit of evidence to support that conclusion. What better way to ensure that a scale is valid than by using the standard of concurrent validity (popular in I/O psychology)? This actually happened when renowned Shirley Manson Subject Matter Expert, Shirley Manson, lead singer of the band Garbage, took the "Which Alt-rock Grrrl are you?" quiz and she didn't score as herself (as she posted on Facebook and reported by A.V. Club ). From Facebook, via A.V. Club An excellent example of an invalid test (or concurrent validity for you I/O types).

Created by Kevin Clay Priceless. More from Kevin Clay  here Aside: I am so, so pleased to now have Snoop Dogg as a label for my blog.

Hey, nerds- Here is a PPT that I use to review t-tests with my students.  All of the examples are rooted in The Hunger Games. My students get a kick out of it and this particular presentation (along with my Harry Potter themed ANOVA review) is oft-cited as an answer to the question "What did you like the most about this class?" in my end of the semester reviews. Essentially, I have found various psychological scales, applied them to THG, and present my students with "data" from the characters. For example, the students perform a one-sample t-test comparing Machvellianism in Capital leadership versus Rebellion leadership (in keeping with the final book of the series, the difference between the two groups is non-significant). So, as a psychologist, I can introduce my students to various psychological concepts in addition to review t-tests. Note: I teach in a computer lab using SPSS, which would be a necessity for using exercises. Caveat: I would recommend usi...

Hey, nerds. Some big, big nerds generated a bunch of statistical graphs and analyses using content analysis data gleaned from the Tolkien's novels. Teach your students about nerdy, nerdy correlations: Content analysis for positive and negative affect:

from http://hello-jessica.tumblr.com Who knew that Zoidberg was an ad hoc reviewer?

In honor of Daylight Savings Time and my own caffeine addiction. This will always be the funniest graph ever, p < .05. Property of Nathaniel James

I like to use this comic for extra credit points on the big Sampling Distribution of the Mean/Central Limit Theorem statistics exams. Property of Scott Adams Typically, I ask my students to identify the flaw in Dogbert's data collection technique, and the student reply with some variation of 1) sample size and 2) the data can not be provided by anyone who has been killed. I did have one smart ass reply, "Dogs can't talk". I gave him the extra credit points. 

Triple hilarious with bonus points for being super funny. Damn Avas! Not terribly educational but does illustrate the fact that correlation does not, in fact, equal causation. Property of Bloomberg Businessweek and Vali Chandrasekaran

Darryl Bem on The Colbert Report I love me some Colbert Report. So imagine my delight when he interviewed social psychologist Darryl Bem . Bem is famous for his sex roles inventory as well as his Psi research. Colbert interviewed him about his 2012 Journal of Personality and Social Psychology article, Feeling the Future: Experimental Evidence for Anomalous Retroactive Influences on Cognition and Affect, which demonstrated a better-than-chance ability to predict an outcome. Here, the outcome was guessing which side of a computer screen would contain an erotic image (Yes, Colbert had a field day with this. Yes, please watch the clip in its entirety before sharing it with a classroom of impressionable college students). Big deal? Needless to say, Colbert reveled in poking fun at the "Time Traveling Porn" research. However, the interview is of some educational value because it a)does a good job of describing the research methods used in the study. Additionally, b) h...

Slate's Hollywood Career-O-Matic This story from Slate.com allows students to think about sampling error and data visualization within the context of movies, actors, and directors. This Slate article discusses the movie review meta-webiste  Rotten Tomatoes . This website is of statistical note in and of itself since it compiles the reviews of many, many film critics and then provide at Rotten Tomato score based on this sampling. The Slate article takes this data a step further by providing an interactive  chart that you can use to generate graphs that track a given actor or director's career. Below, the Tomato ratings of the films of Lindsay Lohan. When I use this in class, I ask the students if they believe that Rotten Tomatoes data should be used to set salaries or guide casting. Additionally, I like to provide my students with the 10 Ten Highest Grossing Movies for the year as well as the Top 10 Highest Rated movies (as rated by Rotten Tomatoes) of th...